function vbrfa2011_artificial_results()

% RMSE for noiseless function values that weren't corrupted
rmse_test = [
    0.8456    0.8125    0.6698    0.8436
    0.8614    0.7664    0.6331    0.8949
    1.1214    0.9540    0.6635    0.8917
    1.3117    0.9283    0.6910    1.0223
    0.8336    0.7994    0.6859    0.8775
    1.1250    0.7574    0.6650    0.9184
    1.0032    0.9118    0.8627    0.9114
    0.9997    0.8684    0.6879    1.0439
    0.7788    0.7029    0.6270    0.6544
    1.0748    0.7851    0.6843    0.8839

    ]

% RMSE for noiseless function values that were corrupted
rmse_outliers = [
    10.9814    2.3072    1.1215    1.3202
    13.5295    1.2184    0.7501    1.0824
    10.8686    2.0811    0.8717    1.4725
    4.9825    1.8998    0.6136    1.1558
    11.7699    2.3320    1.1557    1.2918
    8.4381    1.8021    0.6251    1.0046
    15.0804    2.0952    0.8323    1.0567
    10.5611    2.4988    0.8107    1.5382
    12.9707    2.0960    0.8681    1.2415
    6.4134    1.3702    0.5044    0.8838

    ]

mean(rmse_test,1)
mean(rmse_outliers,1)
%std(rmse_test,1,1)
%std(rmse_outliers,1,1)
